AI Research Scientist

I'm a research scientist at Basis Research Institute, where I develop methods and software for causal/probabilistic reasoning, and work with scientists and policymakers to put these tools into practice. Previously, I completed my PhD in Computer Science at UMass Amherst with David Jensen and collaborated closely with Vikash Mansinghka at MIT. When I'm not reading, writing, or talking about models, you're likely to find me lost in the woods with my puppy dog Mira.

Contact me at sam[at]

Selected Publications

For a complete list of publications, see my Google scholar.

Bayesian Structural Causal Inference with Probabilistic Programming
Sam Witty (2023).
PhD Thesis, University of Massachusetts Amherst [bibtex]

SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference
Sam Witty, David Jensen, Vikash Mansinghka (2021).
arXiv preprint arXiv:2102.11761 [bibtex].

Causal Probabilistic Programming without Tears
Eli Bingham*, James Koppel*, Alexander Lew*, Robert Ness*, Zenna Tavares*, Sam Witty*, Jeremy Zucker* (2021, Alphabetical Order).
Third Conference on Probabilistic Progamming. [bibtex]

Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka (2020).
International Conference on Machine Learning. [bibtex]

Bayesian Causal Inference via Probabilistic Program Synthesis
Sam Witty*, Alexander Lew*, David Jensen, Vikash Mansinghka (2020).
Second Conference on Probabilistic Programming [bibtex]